Simulation-based Evaluation of Two-Sample Data in Presence of Less-than- Detectable (LTD) Data in the Classical Domain

Authors

  • Amaresh Das

Keywords:

censored data, hypothesis testing, parametric and nonparametric methods

Abstract

A number of methods available for comparing two samples with censored data is evaluated through a simulation-based exercise. The (Geweke-Hajivassilion-Kenne (GHK) simulator is used here. All the methods discussed here can handle the case when there are multiple detection limits. Under the conditions considered in the simulation, the Mann-Whitney/ Wilcoxon method is best in maintain the Type 1 error rate, while still providing sufficient power.

How to Cite

Amaresh Das. (2015). Simulation-based Evaluation of Two-Sample Data in Presence of Less-than- Detectable (LTD) Data in the Classical Domain. Global Journal of Management and Business Research, 15(G4), 19–25. Retrieved from https://journalofbusiness.org/index.php/GJMBR/article/view/1843

Simulation-based Evaluation of Two-Sample Data in Presence of Less-than- Detectable (LTD) Data in the Classical Domain

Published

2015-10-15